Nabil BELGASMI's repositories
A-Comprehensive-ML-Workflow-for-Regression-Methods
This is a comprehensive ML workflow for regression methods, I have tried to help Fans of Machine Learning with how to face machine learning regression problems. and I think it is a great opportunity for who want to learn machine learning workflow with python completely.
AdversarialNetsPapers
The classical paper list with code about generative adversarial nets
airflow-maintenance-dags
A series of DAGs/Workflows to help maintain the operation of Airflow
autosklearn-zeroconf
autosklearn-zeroconf is a fully automated binary classifier. It is based on the AutoML challenge winner auto-sklearn. Give it a dataset with known outcomes (labels) and it returns a list of predicted outcomes for your new data. It even estimates the precision for you! The engine is tuning massively parallel ensemble of machine learning pipelines for best precision/recall.
awesome-machine-learning
A curated list of awesome Machine Learning frameworks, libraries and software.
bert_language_understanding
Pre-training of Deep Bidirectional Transformers for Language Understanding: pre-train TextCNN
BuildingMachineLearningSystemsWithPython
Source Code for the book Building Machine Learning Systems with Python
Classical-Arabic-Named-Entity-Recognition-Corpus
Classical Arabic Named Entity Recognition Corpus
Data-Analysis
Data Analysis Using Python
deep_rl_trader
Trading Environment(OpenAI Gym) + DDQN (Keras-RL)
keras-seq-2-seq-signal-prediction
An implementation of a sequence to sequence neural network using an encoder-decoder
language-detection
This is a language detection library implemented in plain Java. (aliases: language identification, language guessing)
node-language-detect
🇫🇷 NodeJS language detection library using n-gram
PrettyPandas
A Pandas Styler class for making beautiful tables
product-line-prediction
Created for toolchain: https://cloud.ibm.com/devops/toolchains/dddfb2dc-6b0f-4df7-89a3-15fbc3540690?env_id=ibm%3Ayp%3Aeu-de
regressor_utils_python
This repository contains classes and functions to reduce the amount of work it takes to handle regression problems in ptyhon.
RL-Adventure
Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL
steppy-examples
Examples and tutorials to the steppy library
TensorFlow-Tutorials
TensorFlow Tutorials with YouTube Videos
test_tun_news
news
tf_deep_rl_trader
Trading Environment(OpenAI Gym) + PPO(TensorForce)